Patent · US Active

Hardware-optimized neural architecture search

US12131244B2 · kind B2 · utility

0Cited by

0References

20Claims

0Family size

Assignee

Google LLC · US

Inventors

Sheng Li · Hangzhou City, CN
Norman Paul Jouppi · Palo Alto, US
Quoc V. Le · Stanford, US
Mingxing Tan · Newark, US
Ruoming Pang · New York, US
Liqun Cheng · San Jose, US
Andrew Li · Sunnyvale, US

Key dates

Filing date	Sep 30, 2020
Grant date	Oct 29, 2024
Priority date	—
Expiry date	Sep 29, 2042

Classification

Technology area (CPC G)Physics
CPC primaryG06N3/098
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining an architecture for a task neural network that is configured to perform a particular machine learning task on a target set of hardware resources. When deployed on a target set of hardware, such as a collection of datacenter accelerators, the task neural network may be capable of performing the particular machine learning task with enhanced accuracy and speed.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.